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Found 6383 publications

Enhancing cognitive metrics in supply chain management through information and knowledge exchange

Tarik Saikouk Kaliyan Mathiyazhagan Justyna Żywiołek Xin Zhao Umer Shahzad

Publication Name: International Journal of Logistics Management

Publication Date: 2025-01-01

Volume: 36

Issue: 7

Page Range: 200-221

Description:

Purpose: This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains. Design/methodology/approach: The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration. Findings: The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process. Originality/value: This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

Open Access: Yes

DOI: 10.1108/IJLM-04-2024-0243

IP Packet Forwarding Performance Comparison of the FD.io VPP and the Linux Kernel

Melinda Kosák G. Lencse

Publication Name: Infocommunications Journal

Publication Date: 2025-01-01

Volume: 17

Issue: 2

Page Range: 35-44

Description:

There are numerous free software solutions for IPv4 or IPv6 packet forwarding. The Fast Data Project / Vector Packet Processing (FD.io VPP) is a novel and prominent solution. This paper investigates its performance and scalability compared to that of the Linux kernel. The investigation was conducted in accordance with the requirements outlined in the relevant Request for Comments (RFC) documents (RFC 2544, RFC 4814, and RFC 5180) using the siitperf measurement software. Two different test environments were used to eliminate the potential hardware-specific side effects and to gain insight into the performance and scalability of the IPv4 and IPv6 packet forwarding capability of the two investigated solutions. It was found that FD.io VPP outperformed the Linux kernel by approximately an order of magnitude. The configuration of FD.io VPP, along with the details of the measurements, are provided, and the results are presented and analyzed in the paper.

Open Access: Yes

DOI: 10.36244/ICJ.2025.2.5

Challenges and Implications of Pedestrian Yielding Compliance in Thailand and Laos: A Field Study Analysis

Emese Makó Souvathone Phetoudom

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 120-131

Description:

In Thailand and Laos, drivers frequently disregard international road traffic regulations, particularly the mandate to yield to pedestrians. This behavior compels pedestrians to rely on their judgment to assess safety gaps and cross independently, as drivers often do not prioritize them. Interestingly, many pedestrians choose to cross the road outside of designated crossings, which may reflect an adaptive behavior rooted in local cognitive and cultural contexts. In contrast, European countries have well-defined and strictly enforced regulations that require drivers to yield to pedestrians, resulting in safer pedestrian experiences. However, in Thailand and Laos, the lack of effective enforcement and compliance leads to hazardous pedestrian crossings. The disparity in pedestrian safety between these regions can be partly attributed to cognitive and behavioral factors, such as risk perception, learned behaviors, and cultural norms, which influence both pedestrian and driver actions. This study employed the field study method to analyze driver yielding rates at 12 locations in Udon Thani, Thailand, and Vientiane, Laos. Data collection encompassed traffic flow in both directions and was conducted under typical weather conditions on a standard working day, focusing on the rate and type of yielding by drivers. The findings reveal a minimal proportion of drivers who yield to pedestrians, with some locations exhibiting particularly low compliance rates. While a zero yielding rate theoretically increases road capacity by allowing continuous vehicle flow, it also endangers pedestrians, leading to potential accidents that can disrupt traffic flow. This situation underscores the need to consider cognitive and behavioral dimensions, such as how drivers perceive pedestrians and the habitual actions of both groups, in road design and traffic management policies. An understanding of these cognitive and behavioral aspects, alongside local cultural practices, is crucial for developing effective safety campaigns and infrastructural improvements that can enhance pedestrian safety in these regions.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_12

Verilog-A Implementation of a Nonlinear Permanent Magnet Synchronous Machine Model for Sensorless Polarity Detection

Istvan Szalay Ferenc Péter Speiser Denes Fodor

Publication Name: Edpe 2025 37th International Conference on Electrical Drives and Power Electronics and 12th Joint Croatia Slovakia Conference

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this paper, we present the implementation process of a novel extended PMSM model in Verilog-A. The extended PMSM model is based on a quadratic flux-current function that describes the machine's rotor position-dependent and polaritydependent characteristics, enabling the development of signal injection-based sensorless polarity detection algorithms. The Verilog-A module was compiled using OpenVAF, simulated with Ngspice, and integrated via the Qucs-S frontend. Validation was carried out through comparison of simulations and corresponding measurements of non-modulated square-wave and modulated sinusoidal signal injection, two commonly used carrier signals in sensorless control. Simulation results showed good agreement with measurements. The implemented PMSM model is open source. The code and related data are available on GitHub.

Open Access: Yes

DOI: 10.1109/EDPE66853.2025.11224147

SUSTAINABLE ECONOMIC GOALS BASED ON DETERMINANTS OF RESOURCE PRODUCTIVITY IN THE NETHERLANDS AND HUNGARY

Laszlo Vasa Botond Géza Kálmán Szilárd Malatyinszki

Publication Name: Environmental Economics

Publication Date: 2025-01-01

Volume: 16

Issue: 1

Page Range: 114-128

Description:

Resource productivity has become an important indicator of sustainable economic growth in a situation when natural resources are becoming scarce and environmental stress is growing. This paper examines the drivers of resource productivity in the case of the Netherlands and Hungary, two countries featuring diversified economies and contexts. This paper evaluates the contribution of waste management, renewable energy sources, human capital, investment, and innovation to sustainability by adopting a combined methods approach. Data from Eurostat and ODYSSEE databases, covering the period from 2011 to 2021, were analyzed using time series comparison and structural equation modeling (SEM). The results indicate that factors such as employment rate, gross fixed capital formation (GFCF), waste recycling, and renewable energy significantly influence resource productivity. The results indicated absolute decoupling for the Netherlands, represented by a 40% increase in productivity with an 11% reduction in materials. In comparison, Hungary recorded relative decoupling with GDP and material consumption increasing by about 49% and 37%, respectively. These findings underpin the importance of tailored policies for the enhancement of resource efficiency and sustainable development.

Open Access: Yes

DOI: 10.21511/ee.16(1).2025.09

Can It Still Be Used? Compression Strength Recovery of Corrugated Boxes After Moisture Exposure

Péter Böröcz Péter Csavajda

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 43-48

Description:

Moisture exposure is a common risk for corrugated fiberboard boxes (CFB) during transport, handling, or storage, especially in humid environments or due to accidental water contact. Boxes that have gotten wet are often seen as unsafe and not strong, so they are thrown away. However, this practice contributes to unnecessary material waste and higher environmental impact. This study aims to examine whether corrugated boxes that have been exposed to water and subsequently dried can retain sufficient compression strength to allow for safe use. In this study, the potential for strength recovery of CFB following water exposure and drying was investigated. The samples were immersed in water for a defined period to simulate realistic exposure scenarios, then dried under controlled conditions. Following this, Box Compression Tests (BCT) were carried out to evaluate the remaining compression strength. The results showed that while compression strength decreases due to water exposure, a significant portion of it can be recovered after drying, depending on the material structure and exposure duration, with reductions ranging from 17 % to 31 %. These findings suggest that moisture-affected boxes may remain suitable for use, which questions the default approach of immediate disposal. By quantifying post-drying strength loss, this research supports data-driven decisions in packaging use, potentially reducing material waste and promoting more sustainable logistics practices.

Open Access: Yes

DOI: 10.3303/CET25121008

Advancing PFMEA Decision-Making: FRADAR Based Prioritization of Failure Modes Using AP, RPN, and Multi-Attribute Assessment in the Automotive Industry

Dragan Marinković Danijela Tadić Dragan Pamucar Nikola Komatina

Publication Name: Tehnicki Glasnik

Publication Date: 2025-01-01

Volume: 19

Issue: 3

Page Range: 442-451

Description:

This research proposes a novel way to improve Process Failure Modes and Effects Analysis (PFMEA) by using the Fuzzy RAnking based on the Distances And Range (FRADAR) method to prioritize activities for mitigating or eliminating failure modes in the automotive industry. The suggested approach seeks to improve classic PFMEA by using fuzzy sets to better assess risk-related criteria and their inherent uncertainty. The criteria used to prioritize actions for mitigating failure modes include the Action Priority (AP) and Risk Priority Number (RPN) approach, as well as the cost-effectiveness of actions, the time required to resolve issues, and their impact on production, all of which are assessed by a PFMEA team using predefined linguistic terms and suggestions. Applied to a case study of a Tier-1 automotive supplier, the FRADAR method effectively ranks failure modes, providing a structured and precise approach for action prioritization. The results highlight the model’s potential to enhance decision-making processes, offering a robust framework for implementing PFMEA recommendations in the automotive industry.

Open Access: Yes

DOI: 10.31803/tg-20250221185213

The 4th Global Conference on Parliamentary Studies: Current Scientific Discourses on Parliaments in a Digital Age

Péter Smuk Áron Ősze

Publication Name: International Journal of Parliamentary Studies

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This report intends to summarize the academic discussions on actual parliamentary issues at the conference that took place in Athens, 13 June 2025.

Open Access: Yes

DOI: 10.1163/26668912-bja10115

Development of an Automated Solution for the Error Analysis of MATLAB/Simulink-Based Digital Twins †

Istvan Szalay József Richárd Lennert Denes Fodor

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

This study aims to analyze various methods, including AI, that can be used to optimize error analysis in digital twins and highlight the advantages and disadvantages of these analysis methods. Furthermore, the study aims to present an automated solution for error analysis of MATLAB/Simulink-based digital twins. This solution can make the error analysis more efficient without the use of AI, meaning that it can be used even if the digital twin is not appropriately known, which can be a considerable advantage in the current automotive industry, where complex digital twins are commonly used for the development and optimization of E/E systems during different types of in-the-Loop simulations.

Open Access: Yes

DOI: 10.3390/engproc2025113049